AI Article Synopsis

  • - The National Early Warning Score (NEWS/2) system is designed to help identify patients at risk of serious health issues but has some limitations, particularly in predicting deterioration beyond 24 hours and its applicability to different patient types.
  • - This scoping review aims to explore modifications to the NEWS/2 system, such as adding patient characteristics, to enhance its predictive accuracy and provide a basis for future improvements.
  • - The review will follow systematic protocols for data collection from various databases and will not require ethical approval since it involves existing published data, with results intended for publication in a peer-reviewed journal.

Article Abstract

Introduction: The National Early Warning Score (NEWS/2) system was developed to enable the detection and early intervention of patients at risk of clinical deterioration. It has demonstrated good accuracy in identifying imminent critical outcomes but has limitations in its applicability to various patient types and its ability to predict upcoming deterioration beyond 24 hours. Various studies have attempted to improve its predictive accuracy and clinical utility by modifying or adding variables to the standard NEWS/2 system. The purpose of this scoping review is to identify modifications to the NEWS and NEWS2 systems (eg, the inclusion of additional patient demographic, physiological or other characteristics) and how those modifications influence predictive accuracy to provide an evidence base for subsequent improvement of the system.

Methods And Analysis: The review will be structured using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and the Population, Intervention, Comparator, Outcome, and Study frameworks. Six databases (PubMed, ScienceDirect, Embase, CINAHL, Web of Science and Cochrane Library) will be searched in April 2024 for articles published in English. Article screening and data extraction will be conducted by two independent reviewers, with any conflicts resolved by discussion. The analysis will be descriptive to provide a summary of modifications identified and their influence on the predictive accuracy of NEWS/NEWS 2.

Ethics And Dissemination: Ethical approval is not required as data will be obtained from already published sources. Findings from this study will be disseminated via publication in a peer-reviewed journal.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11474849PMC
http://dx.doi.org/10.1136/bmjopen-2024-089061DOI Listing

Publication Analysis

Top Keywords

predictive accuracy
12
national early
8
early warning
8
warning score
8
scoping review
8
news/2 system
8
influence predictive
8
will
6
modifications
4
modifications national
4

Similar Publications

Background: Previously, we demonstrated that changes in circulating tumor DNA (ctDNA) are promising biomarkers for early response prediction (ERP) to immune checkpoint inhibitors (ICI) in metastatic urothelial cancer (mUC). In this study, we investigated the value of whole blood immunotranscriptomics for ERP-ICI and integrated both biomarkers into a multimodal model to boost accuracy.

Methods: Blood samples of 93 patients were collected at baseline and after 2-6 weeks of ICI for ctDNA (N=88) and immunotranscriptome (N=79) analyses.

View Article and Find Full Text PDF

Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.

View Article and Find Full Text PDF

Importance: An accurate noninvasive biomarker test is needed for the early diagnosis of bladder cancer.

Objective: To evaluate the performance of a urinary DNA methylation test (PENK methylation) and compare its diagnostic accuracy with that of the nuclear matrix protein 22 (NMP22) test or urine cytology test.

Design, Setting, And Participants: In this prospective multicenter study at 10 sites in the Republic of Korea, individuals 40 years and older with hematuria undergoing cystoscopy within 3 months between March 11, 2022, and May 30, 2024, participated.

View Article and Find Full Text PDF

Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks.

Trop Anim Health Prod

January 2025

Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.

Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.

View Article and Find Full Text PDF

An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study.

Eur J Nucl Med Mol Imaging

January 2025

Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu City, Sichuan Province, 610041, China.

Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.

Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!